Services · Arvantti Labs

Digital twins and decisions for your operation.

We model your operation and compare scenarios before committing resources. Data, integration and governance serve those two fronts.

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Digital twins · operating flow

  1. 01

    Real plant or emulator

    The operating plant, or Arvantti-Emulator® while the plant is still a project.

  2. 02

    Control and data

    A real PLC, virtual PLC or production system sends data to the twin via OPC UA.

  3. 03

    Digital twin

    Represents the operation and shows its history and current state.

  4. 04

    Arvantti-Fractal®

    Evaluates scenarios, optimizes and recommends adjustments to anticipate outcomes.

  5. 05

    Planning and decision

    APS/ERP receives the plan. The operator reviews the recommendation and, if approved, the PLC applies the adjustment.

Fractal never writes directly to the PLC: the operator makes and approves the decision.

How it works: from the real plant to anticipated decisions with Arvantti-DigitalTwin® and Arvantti-Fractal®.View in the presentation

Two fronts

Model the operation and decide on it.

3D twin of a plastic injection molding plant

Front 01 · Arvantti-DigitalTwin®

Digital twins

A living model of your plant or process, connected to your data, to test changes without intervening in the operation.

Decisions it addresses

  • Capacity
  • Maintenance
  • Bottlenecks
  • Operator training

What we deliver

  • 3D and logical model of the plant or process.
  • Connection to PLC, SCADA or ERP as applicable.
  • Simulation of changes with assumptions validated by your team.
See digital twins
Illustration of the Arvantti-Fractal decision engine

Front 02 · Arvantti-Fractal®

Decision engine

Combines AI, explicit rules and the digital twin to compare alternatives with variables, constraints, objectives and risk.

Decisions it addresses

  • Sequencing
  • Inventory
  • Logistics
  • Cost and risk

What we deliver

  • Decision model with variables, constraints and objectives.
  • Scenario comparison with its risk.
  • Explained recommendation for human review.
Explore Fractal

How we start

A staged path.

  1. 01DiscoveryWe choose the decision, the sources and the impact metric.
  2. 02Twin modelWe represent the plant or process with its rules.
  3. 03Data integrationWe connect PLC, SCADA or ERP as agreed.
  4. 04Scenarios with FractalWe compare alternatives before deciding.
  5. 05OperationWe take to the plant only what your team validates.

Demonstration examples

What a twin looks like in operation.

3D twin of a sauce and dressing plant
Demonstration

Sauce and dressing plant

Production capacity and sequencing in a 3D model.

3D twin of a plastic injection molding plant
Demonstration

Plastic injection molding

Injection lines modeled to test plant changes.

3D twin of a scale water distribution system
Demonstration

Scale water system

The right pressure at every house, regulated from the digital twin.

What makes it possible

Supporting capabilities.

ERP + SCADA + OEE integrationPlant and business data in a single flow.Physical AI and automationPhysical processes with controls and owners.Knowledge and dataRAG and Graph RAG over authorized sources.Governance with Arvantti HarnessPermissions, traceability and human oversight.Agentic systemsAgents that act within rules.

Let’s define which decision in your operation deserves a digital twin.

A Discovery identifies the process, the sources, the constraints and the impact metric.

Request a Discovery

Frequently asked questions

Do I need PLCs or sensors to have a digital twin?

Not always. The model can start with the data that already exists and add plant signals as they become available.

What data is needed?

It is defined in the Discovery according to the decision: process times, capacities, orders, downtime or control signals.

How is it different from a BI dashboard?

A dashboard shows what happened. The twin with Fractal lets you test what would happen if something changes, before doing it.